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A day in the life
- Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
- Experience with SQL
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Experience in the data/BI space
- Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
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